Towards a model-free denoising of underwater optical images

Arnold-Bas, Jean-Philippe Malkasset, Gilles Kervem
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引用次数: 55

Abstract

A major hindrance to underwater operations using cameras comes from the light absorption and scattering by the marine environment, which limits the visibility distance up to a few meters in coastal waters when using low-end cameras. We propose a complete preprocessing framework able to handle the entire spectrum of noises present in underwater images. We show that most, if not all of this preprocessing can be done with very generic methods that do not need any knowledge of the scene or of the turbidity characteristics of the water, while still remaining coherent with the underwater images formation model.
水下光学图像的无模型去噪方法研究
使用相机进行水下作业的一个主要障碍是海洋环境对光线的吸收和散射,这限制了低端相机在沿海水域的可见距离,最高可达几米。我们提出了一个完整的预处理框架,能够处理水下图像中存在的整个频谱的噪声。我们表明,大多数(如果不是全部的话)这种预处理可以用非常通用的方法完成,这些方法不需要对场景或水的浊度特性有任何了解,同时仍然与水下图像形成模型保持一致。
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